Abstract 64P
Background
Metastasis is the one main causes of mortality in solid cancers, including breast cancer recently predictive biomarkers based on molecular finding have been developed but still unaffordable especially in developing countries. There are several alternative to molecular biomarkers and white blood cell profile count emerged as affordable and practical markers of cancer progression. However, there are not many studies that focus on their direct application. Therefore, this study aimed to determine the correlation between white blood cell profile count as predictive factors of metastasis in invasive ductal carcinoma breast cancer.
Methods
A retrospective cross-sectional study was conducted using breast cancer patient data obtained at Sanglah General Hospital (2016-2020). Complete blood count (CBC) and histopathological records of the patients were collected and the white blood cell profile (WBC, ABC, AMC, AEC, ANC and ALC) were calculated. Distant metastasis was classified into M0 and M1.
Results
267 invasive ductal carcinoma breast cancer patient data were used in this study with mean age 49.1 ± 9.474. Metastatic disease of the patients accounted for 50 patients (18.7%) of all patients. Patients with metastatic disease had higher median of AMC compared to patients without metastasis (0.61 ± 0.307, p=0.022. The AUC (sensitivity and specificity) of ABC, AMC and ANC in predicting metastasis were 0.528 (24%; 90%), 0.604 (56%; 72%) and 0.539 (40%; 74%), respectively. In univariate risk analysis model, patient with metastasis of invasive ductal carcinoma breast cancer was found in high ABC (OR: 2.779; 95%CI=1.277-6.134; p=0.008), AMC (OR: 1.203; 95%CI=0.661-2.189; p<0.001) and ANC (OR: 1.917; 95%CI=1.008-3.643; p=0.045).
Conclusions
Pre-treatment white blood cell profile count are potential predictive markers for metastasis. However, these findings need to be validated in larger study with more comprehensive design.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Medical Faculty Udayana University.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
298P - Abandonment of treatment in teenagers and young adults with cancer: A multi institutional survey
Presenter: B S Ankit
Session: e-Poster Display Session
304P - Identification of nine lncRNAs signature for predicting survival benefit of melanoma patients treated with immune checkpoint inhibitors
Presenter: Jian-Guo Zhou
Session: e-Poster Display Session
305P - Novel co-occurring genomic alterations associated with prediction and prognosis in lung adenocarcinoma
Presenter: Xin Zhao
Session: e-Poster Display Session
306P - Detection of anaplastic lymphoma kinase (ALK) mutations using circulating tumour DNA (ctDNA) in advanced non-squamous non-small cell lung cancer (non-Sq-NSCLC) in Asia
Presenter: Kirsty Lee
Session: e-Poster Display Session
307P - Development of circulating free DNA methylation markers for thyroid nodule diagnostics
Presenter: Shuibing Hong
Session: e-Poster Display Session
308P - The genomic landscape of non-small cell lung cancer (NSCLC) in East Asia using circulating tumour DNA (ctDNA) in clinical practice
Presenter: Byoung Cho
Session: e-Poster Display Session
309P - Improved diagnostic accuracy in MRI breast lesions using a classification system and multilayer perceptron neural network
Presenter: Venkata Pradeep Babu Koyyala
Session: e-Poster Display Session
310P - Genomic biomarker detection in East Asian clinical practice using circulating tumour DNA (ctDNA) from patients with gastrointestinal (GI) tract cancers
Presenter: Sadakatsu Ikeda
Session: e-Poster Display Session
311P - Effect of chemotherapy on fatty liver occurrence in breast and gastrointestinal cancer patients
Presenter: Seyed Alireza Javadinia
Session: e-Poster Display Session
312P - Identification of neoantigen-specific T cell response and anti-tumour immunity in pancreatic cancer
Presenter: Xiaoxiao Du
Session: e-Poster Display Session